Papers
959 papers found
Learning Reusable Manipulation Strategies
Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum et al.
Learning Robot Manipulation from Cross-Morphology Demonstration
Gautam Salhotra, I-Chun Arthur Liu, Gaurav S. Sukhatme
Learning Sequential Acquisition Policies for Robot-Assisted Feeding
Priya Sundaresan, Jiajun Wu, Dorsa Sadigh
Learning to Design and Use Tools for Robotic Manipulation
Ziang Liu, Stephen Tian, Michelle Guo et al.
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning
Sachit Kuhar, Shuo Cheng, Shivang Chopra et al.
Learning to Drive Anywhere
Ruizhao Zhu, Peng Huang, Eshed Ohn-Bar et al.
Learning to See Physical Properties with Active Sensing Motor Policies
Gabriel B. Margolis, Xiang Fu, Yandong Ji et al.
Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves
Seungyeon Kim, Young Hun Kim, Yonghyeon Lee et al.
M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place
Wentao Yuan, Adithyavairavan Murali, Arsalan Mousavian et al.
ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting
Kushal Kedia, Prithwish Dan, Atiksh Bhardwaj et al.
Marginalized Importance Sampling for Off-Environment Policy Evaluation
Pulkit Katdare, Nan Jiang, Katherine Rose Driggs-Campbell
Measuring Interpretability of Neural Policies of Robots with Disentangled Representation
Tsun-Hsuan Wang, Wei Xiao, Tim Seyde et al.
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Ajay Mandlekar, Soroush Nasiriany, Bowen Wen et al.
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
Chen Wang, Linxi Fan, Jiankai Sun et al.
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev et al.
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors
Sushant Veer, Apoorva Sharma, Marco Pavone
Multi-Resolution Sensing for Real-Time Control with Vision-Language Models
Saumya Saxena, Mohit Sharma, Oliver Kroemer
MUTEX: Learning Unified Policies from Multimodal Task Specifications
Rutav Shah, Roberto Martín-Martín, Yuke Zhu
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning
Dhruv Shah, Michael Robert Equi, Błażej Osiński et al.
Neural Field Dynamics Model for Granular Object Piles Manipulation
Shangjie Xue, Shuo Cheng, Pujith Kachana et al.
Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control
Songyuan Zhang, Kunal Garg, Chuchu Fan
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities
Ruohan Zhang, Sharon Lee, Minjune Hwang et al.
One-Shot Imitation Learning: A Pose Estimation Perspective
Pietro Vitiello, Kamil Dreczkowski, Edward Johns
One-shot Imitation Learning via Interaction Warping
Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi et al.
Online Learning for Obstacle Avoidance
David Snyder, Meghan Booker, Nathaniel Simon et al.